PREDICTION AND PROVIDING MEDICATION FOR THYROID DISEASE USING MACHINE LEARNING TECHNIQUE (SVM)

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M. Ramya,Dr. P V Siva Kumar

Abstract

Thyroid disorder leading cause of medical diagnosis and prediction development, which medical science is a
complicated axiom. Thyroid gland is one of our body's main organs. Thyroid hormone secretions are responsible for
regulating metabolism. Hyperthyroidism and hypothyroidism are the two prominent thyroid disorders that produce thyroid
hormones for control of body metabolism. The machine learning is critical in the disease prediction process and in the study
and classification models used for thyroid disease on the basis of data obtained from hospital datasets. A decent knowledge
base must be ensured, built and used as a hybrid model to solve dynamic learning tasks like medical diagnosis and
predictional tasks. Basic techniques of machine learning are used for the identification and inhibition of thyroid. The SVM is
used to predict the approximate probability of a thyroid patient.If the patient has risk of getting thyroid our system has to
give suggestions like recommending home remedies, precautions, medication etc…

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